To accurately calculate the capacity of non-motorized vehicles at urban intersections, and determine the service level of non-motorized lanes in mixed traffic environments, this study analyzed the difference in overtaking behavior between electric bicycles and traditional bicycles when passing intersections. It also explored the expansion characteristics of two types of non-motorized vehicles at mixed intersections and analyzed the driving characteristics of non-motorized vehicles arriving at intersections under different scenarios. Additionally, the study proposed a calculation method for the electric bicycle conversion coefficient at intersections. Based on two drone videos at signal intersections in Xi’an, it was found that the conversion coefficient of electric bicycles at the intersection to traditional bicycles is 1.447. The conversion coefficients were verified by Vissim simulation. The relative errors associated with capacity, including linear speed, right turn speed, starting acceleration, and arrival acceleration are all within acceptable ranges and closely align with practical conditions. Therefore, this conversion factor model can provide a theoretical basis for accurately evaluating the mixed state of non-motor vehicles at intersections.